System for Identifying Sustainable Geographical Areas by Remote Sensing Techniques and Method Thereof

1. Method for identifying sustainable geographical areas by remote sensing techniques, the method comprising: collecting at least one initial reference date image and one final reference date image of the geographical area, storing said at least one initial date and final date reference images in at least one database, collecting auxiliary data from geographical databases said auxiliary data being related to the geographical areas and comprising: cartographic data of the geographical areas, thematic data of the geographical areas related to the use of the geographical areas, biodiversity data of the geographical areas comprising supporting data related to nature protection areas, importing the images and the auxiliary data into an image processing module, processing the images by at least comparing pixel by pixel the initial date and the final date reference images by means of the image processing module identifying canopy covers, generating at least one first map of the geographical areas said map comprising land use classification according to figures defined by sustainaility requirements, generating at least one second map of the geographical areas said map comprising data related to six categories of IPPC, and a category related to perennial crops, and generating, by combining the first and second maps, a result map comprising information regarding category changes from the initial and final reference dates in the geographical areas.

2. The method of claim 1 wherein at least one of the reference images is collected from a database of historical archives of images available in official databases.

3. The method of claim 1 wherein at least one of the reference images is collected by means of an imaging system.

4. The method of claim 1 wherein the images are selected from the group consisting of: low, medium and high resolution images.

5. The method of claim 4 wherein the low resolution image processing comprises generating a mosaic of low resolution images wherein said mosaic of images comprises coordinates of a common reference system for each low resolution image.

6. The method of claim 1 wherein the image processing comprises an orthorectification of the reference images using the cartographic data as reference data.

7. The method of claim 1 further comprising determining canopy cover levels of 10-30% from the images by means of the image processing module, identifying the different spectral classes of each image.